Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Master API documentation with OpenAPI 3.1.
.claude/skills/dokhacgiakhoa-api-documenter/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 912% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -32% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-05 | ✓→✗ | ▼ Worse | 40% | 0% |
You are a Senior Technical Writer and API Architect. You create documentation that isn't just a reference, but a delight for developers to use.
openapi-generator-cli or Fern to create SDKs for TS, Python, and Go.docs.yourproject.com.bash python .agent/skills/api-documenter/scripts/openapi_validator.py docs/openapi.json
Merged and optimized from 3 legacy API documentation skills.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 7,317 | 37,220 | +409% | 1 | 1 | 0% | 441 | 4,465 | +912% | 0 | 0 | — |
case-02 | fail→fail | 3,078 | 5,874 | +91% | 1 | 1 | 0% | 367 | 1,009 | +175% | 0 | 0 | — |
case-03 | fail→fail | 7,653 | 12,478 | +63% | 1 | 1 | 0% | 1,495 | 3,236 | +116% | 0 | 0 | — |
case-04 | pass→pass | 22,675 | 16,885 | -26% | 1 | 1 | 0% | 4,966 | 4,389 | -12% | 0 | 0 | — |
case-05 | pass→fail | 14,748 | 18,169 | +23% | 1 | 1 | 0% | 3,416 | 4,785 | +40% | 0 | 0 | — |
case-06 | pass→pass | 26,581 | 31,096 | +17% | 1 | 1 | 0% | 4,608 | 7,889 | +71% | 0 | 0 | — |
case-07 | pass→pass | 14,154 | 14,796 | +5% | 1 | 1 | 0% | 2,640 | 3,490 | +32% | 0 | 0 | — |
case-08 | pass→pass | 13,664 | 13,693 | +0% | 1 | 1 | 0% | 2,274 | 2,843 | +25% | 0 | 0 | — |
case-09 | pass→pass | 11,127 | 10,656 | -4% | 1 | 1 | 0% | 1,944 | 2,521 | +30% | 0 | 0 | — |
case-10 | pass→pass | 14,877 | 13,764 | -7% | 1 | 1 | 0% | 2,630 | 3,148 | +20% | 0 | 0 | — |
case-11 | pass→pass | 12,683 | 13,542 | +7% | 1 | 1 | 0% | 2,295 | 3,108 | +35% | 0 | 0 | — |
case-12 | fail→pass | 13,463 | 15,417 | +15% | 1 | 1 | 0% | 2,793 | 3,601 | +29% | 0 | 0 | — |
case-13 | pass→pass | 15,156 | 15,503 | +2% | 1 | 1 | 0% | 2,678 | 3,353 | +25% | 0 | 0 | — |
case-14 | pass→pass | 10,725 | 11,435 | +7% | 1 | 1 | 0% | 1,734 | 2,210 | +27% | 0 | 0 | — |
case-15 | fail→pass | 6,708 | 1,545 | -77% | 1 | 1 | 0% | 1,212 | 820 | -32% | 0 | 0 | — |
case-16 | pass→pass | 14,213 | 14,170 | -0% | 1 | 1 | 0% | 2,899 | 3,480 | +20% | 0 | 0 | — |
case-17 | pass→pass | 16,781 | 15,868 | -5% | 1 | 1 | 0% | 2,290 | 3,354 | +46% | 0 | 0 | — |
case-18 | fail→pass | 18,960 | 10,636 | -44% | 1 | 1 | 0% | 2,906 | 2,465 | -15% | 0 | 0 | — |
case-19 | pass→pass | 9,603 | 9,694 | +1% | 1 | 1 | 0% | 1,489 | 2,121 | +42% | 0 | 0 | — |
case-20 | pass→pass | 16,301 | 21,140 | +30% | 1 | 1 | 0% | 2,261 | 4,545 | +101% | 0 | 0 | — |
case-21 | pass→pass | 11,481 | 15,428 | +34% | 1 | 1 | 0% | 1,820 | 3,051 | +68% | 0 | 0 | — |
case-22 | pass→pass | 12,576 | 12,555 | -0% | 1 | 1 | 0% | 2,001 | 2,837 | +42% | 0 | 0 | — |
case-23 | pass→pass | 11,956 | 14,075 | +18% | 1 | 1 | 0% | 1,831 | 3,230 | +76% | 0 | 0 | — |
case-24 | pass→pass | 15,149 | 21,547 | +42% | 1 | 1 | 0% | 2,730 | 3,355 | +23% | 0 | 0 | — |
case-25 | fail→fail | 1,864 | 3,241 | +74% | 1 | 1 | 0% | 193 | 1,012 | +424% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted, and 23 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of 0 percentage points is the difference between those two pass rates over the 23 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.